Introduction to regression and classification Room: Amphitheater

Performance metrics and evaluation Room: Amphitheater

Building an analysis pipeline and cross-validation Room: Amphitheater

Introduction to DNNs: backpropagation and DenseNet Room: Amphitheater

Analysis with DenseNet: tabular and image data Room: Amphitheater

Introduction to CNNs and different architectures Room: Amphitheater

Image classification and segmentation with CNNs Room: Amphitheater

Variational Autoencoder and GAN Room: Amphitheater

Probabilistic diffusion models Room: Amphitheater

Generation and evaluation of images Room: Amphitheater